Instructions to use payelb/bert-medium-lora-r64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use payelb/bert-medium-lora-r64 with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("prajjwal1/bert-medium") model = PeftModel.from_pretrained(base_model, "payelb/bert-medium-lora-r64") - Transformers
How to use payelb/bert-medium-lora-r64 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("payelb/bert-medium-lora-r64", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from payelb/bert-medium-lora-r64: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/payelb/bert-medium-lora-r64/resolve/main/tokenizer.json
- Command line
-
hf download hf://payelb/bert-medium-lora-r64/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/payelb/bert-medium-lora-r64/resolve/main/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.